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High throughput phenotyping for aphid resistance in large plant collections
BACKGROUND: Phloem-feeding insects are among the most devastating pests worldwide. They not only cause damage by feeding from the phloem, thereby depleting the plant from photo-assimilates, but also by vectoring viruses. Until now, the main way to prevent such problems is the frequent use of insecti...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2012
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3489598/ https://www.ncbi.nlm.nih.gov/pubmed/22901796 http://dx.doi.org/10.1186/1746-4811-8-33 |
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author | Chen, Xi Vosman, Ben Visser, Richard GF van der Vlugt, René AA Broekgaarden, Colette |
author_facet | Chen, Xi Vosman, Ben Visser, Richard GF van der Vlugt, René AA Broekgaarden, Colette |
author_sort | Chen, Xi |
collection | PubMed |
description | BACKGROUND: Phloem-feeding insects are among the most devastating pests worldwide. They not only cause damage by feeding from the phloem, thereby depleting the plant from photo-assimilates, but also by vectoring viruses. Until now, the main way to prevent such problems is the frequent use of insecticides. Applying resistant varieties would be a more environmental friendly and sustainable solution. For this, resistant sources need to be identified first. Up to now there were no methods suitable for high throughput phenotyping of plant germplasm to identify sources of resistance towards phloem-feeding insects. RESULTS: In this paper we present a high throughput screening system to identify plants with an increased resistance against aphids. Its versatility is demonstrated using an Arabidopsis thaliana activation tag mutant line collection. This system consists of the green peach aphid Myzus persicae (Sulzer) and the circulative virus Turnip yellows virus (TuYV). In an initial screening, with one plant representing one mutant line, 13 virus-free mutant lines were identified by ELISA. Using seeds produced from these lines, the putative candidates were re-evaluated and characterized, resulting in nine lines with increased resistance towards the aphid. CONCLUSIONS: This M. persicae-TuYV screening system is an efficient, reliable and quick procedure to identify among thousands of mutated lines those resistant to aphids. In our study, nine mutant lines with increased resistance against the aphid were selected among 5160 mutant lines in just 5 months by one person. The system can be extended to other phloem-feeding insects and circulative viruses to identify insect resistant sources from several collections, including for example genebanks and artificially prepared mutant collections. |
format | Online Article Text |
id | pubmed-3489598 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2012 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-34895982012-11-06 High throughput phenotyping for aphid resistance in large plant collections Chen, Xi Vosman, Ben Visser, Richard GF van der Vlugt, René AA Broekgaarden, Colette Plant Methods Methodology BACKGROUND: Phloem-feeding insects are among the most devastating pests worldwide. They not only cause damage by feeding from the phloem, thereby depleting the plant from photo-assimilates, but also by vectoring viruses. Until now, the main way to prevent such problems is the frequent use of insecticides. Applying resistant varieties would be a more environmental friendly and sustainable solution. For this, resistant sources need to be identified first. Up to now there were no methods suitable for high throughput phenotyping of plant germplasm to identify sources of resistance towards phloem-feeding insects. RESULTS: In this paper we present a high throughput screening system to identify plants with an increased resistance against aphids. Its versatility is demonstrated using an Arabidopsis thaliana activation tag mutant line collection. This system consists of the green peach aphid Myzus persicae (Sulzer) and the circulative virus Turnip yellows virus (TuYV). In an initial screening, with one plant representing one mutant line, 13 virus-free mutant lines were identified by ELISA. Using seeds produced from these lines, the putative candidates were re-evaluated and characterized, resulting in nine lines with increased resistance towards the aphid. CONCLUSIONS: This M. persicae-TuYV screening system is an efficient, reliable and quick procedure to identify among thousands of mutated lines those resistant to aphids. In our study, nine mutant lines with increased resistance against the aphid were selected among 5160 mutant lines in just 5 months by one person. The system can be extended to other phloem-feeding insects and circulative viruses to identify insect resistant sources from several collections, including for example genebanks and artificially prepared mutant collections. BioMed Central 2012-08-17 /pmc/articles/PMC3489598/ /pubmed/22901796 http://dx.doi.org/10.1186/1746-4811-8-33 Text en Copyright ©2012 Chen et al.; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Methodology Chen, Xi Vosman, Ben Visser, Richard GF van der Vlugt, René AA Broekgaarden, Colette High throughput phenotyping for aphid resistance in large plant collections |
title | High throughput phenotyping for aphid resistance in large plant collections |
title_full | High throughput phenotyping for aphid resistance in large plant collections |
title_fullStr | High throughput phenotyping for aphid resistance in large plant collections |
title_full_unstemmed | High throughput phenotyping for aphid resistance in large plant collections |
title_short | High throughput phenotyping for aphid resistance in large plant collections |
title_sort | high throughput phenotyping for aphid resistance in large plant collections |
topic | Methodology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3489598/ https://www.ncbi.nlm.nih.gov/pubmed/22901796 http://dx.doi.org/10.1186/1746-4811-8-33 |
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